Study on nonlinear sliding mode tracking control based on wind turbine maximum power point

To address the limitations of traditional PID control, including slow response speed, susceptibility to overshoot, and poor robustness under rapid wind speed variations and system nonlinearity, this paper proposes an optimized control method for wind power generation systems based on nonlinear sliding mode control. First, a comprehensive model of the wind power generation system is constructed using wind speed, wind turbine, and generator models. Next, the maximum output power is defined, and the rotational angular velocity error of the wind turbine is derived to establish a nonlinear sliding mode surface. Finally, a nonlinear sliding mode tracking controller with a constant-rate reaching law incorporating error bounds is designed. The proposed method improves the system’s dynamic response and steady-state accuracy while enhancing its robustness under complex conditions. Simulation results demonstrate that this method effectively overcomes the shortcomings of traditional control approaches, providing a novel solution for optimizing wind power generation systems.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914307
Primary Topic
Control Systems in Engineering
Type
article
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article

Study on nonlinear sliding mode tracking control based on wind turbine maximum power point

Zhihan Shi, Guangming Zhang, Chao Lu
Control Systems in Engineering
article

Study on nonlinear sliding mode tracking control based on wind turbine maximum power point

Zhihan Shi, Guangming Zhang, Chao Lu
article en

Abstract

To address the limitations of traditional PID control, including slow response speed, susceptibility to overshoot, and poor robustness under rapid wind speed variations and system nonlinearity, this paper proposes an optimized control method for wind power generation systems based on nonlinear sliding mode control. First, a comprehensive model of the wind power generation system is constructed using wind speed, wind turbine, and generator models. Next, the maximum output power is defined, and the rotational angular velocity error of the wind turbine is derived to establish a nonlinear sliding mode surface. Finally, a nonlinear sliding mode tracking controller with a constant-rate reaching law incorporating error bounds is designed. The proposed method improves the system’s dynamic response and steady-state accuracy while enhancing its robustness under complex conditions. Simulation results demonstrate that this method effectively overcomes the shortcomings of traditional control approaches, providing a novel solution for optimizing wind power generation systems.

Nanjing Tech University (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Control Systems in Engineering
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